dhawals/code-intelligence-ai

Codebase Explainer

An advanced AI-powered tool to explore and understand GitHub repositories using Agentic RAG (Retrieval-Augmented Generation).

Features

• —Automated Ingestion: Clone any public GitHub repository and index its code.
• —Intelligent Parsing: Uses Tree-sitter for AST-based symbol extraction (functions, classes, methods).
• —Agentic Workflow: Orchestrated by LangGraph with specialized agents:
• —Planner: Classifies user intent.
• —Retrieval: Fetches relevant code chunks from ChromaDB.
• —Summarizer: Fuses context into a coherent explanation using Llama 3.3.
• —Premium UI: Modern dark-mode interface with glassmorphism and real-time feedback.

Setup

1. 1.Install Dependencies:

   pip install -r requirements.txt

1. 1.Configure Environment: Create a .env file in the root directory:

   GROQ_API_KEY=your_groq_api_key
   HF_API_KEY=your_huggingface_api_key

1. 1.Run the Application:

   python app.py

The app will be available at http://127.0.0.1:5000.

Tech Stack

• —Backend: Flask, LangChain, LangGraph
• —LLM: Groq (Llama-3.3-70b-versatile)
• —Embeddings: Local (BAAI/bge-small-en-v1.5)
• —Vector DB: ChromaDB
• —Parsing: Tree-sitter
• —UI: Vanilla HTML/JS, Premium CSS